AI Adoption
87%
Change Adoption
75-90%
Less Manual Work
98.4%
Reduced Time-to-Launch
How Tigerhall Shortens AI’s Time-to-Value While Protecting Morale
Use Case
AI Adoption
Number of Employees
500 - 100,000+ global employees
Solution
Launch AI in localized stages, securing early wins to build stakeholder confidence
Demonstrate AI’s value in the workflow with role-specific comms and support
Optimize rollouts based on real-time sentiment and adoption signals
Overview
AI initiatives push past the scope of tech transformation, triggering process and cultural shifts as AI fundamentally changes how organizations operate and how people work. Full-scale activation is imperative to drive adoption, protect ROI, and keep businesses competitive.
What's at Stake
Operational Competitiveness
Morale & Retention Risk
Uncertainty could push top performers to disengage or leave.
Low or No ROI on AI Investments
Licenses and tools become deadweight.
Leadership Credibility
Stakeholders become skeptical of future AI initiatives.
People didn’t see how the AI tools we rolled out applied to their work. As a small transformation team, we needed a scalable way to make AI relevant for every role.
The Solution
With Tigerhall, address negative sentiments as they emerge while reinforcing where and how AI adds value for every role, directly in the flow of work. When people see AI as a partner and feel equipped to use it, adoption follows.
Dynamic Stakeholder Groups
Personalized Comms & Support
Behavior-Based Delivery
Access Within Microsoft Teams
Formal & Informal Feedback Channels
Real-Time Engagement Tracking
Pain Point
Tigerhall Solution
Mass, generic AI rollouts risk eroding trust if early outcomes are unfavorable.
Using HRIS data, generate stakeholder groups by role and readiness for progressive, targeted launches.
Employees don’t know how AI applies to their jobs, so they ignore it.
Turn AI strategy into short-form content highlighting role-specific applications, delivered within everyday workflows.
Excitement fades after launch and employees revert to old working styles.
Based on behaviors like first-time logins, trigger prompts and guidance to reinforce AI-based processes at scale.
AI solutions don’t fit how people work, leading to poor adoption.
Consistently collect feedback to refine enablement and shape AI use cases employees actually want to use.
Fear and distrust of AI go undetected, quietly destabilizing the rollout.
Trigger refreshed comms based on real-time sentiment to shift attitudes towards AI.
Surface metrics like logins don’t represent real adoption, delaying interventions.
Track adoption indicators in real time to speed up course-corrections.
The Outcome
Consistent AI Usage Across Roles
Realized Productivity Gains
Reduced AI Resistance
Higher AI Readiness for Future Rollouts
What's Next?
Turn AI-Enabled Modes of Working Into the New Norm
AI becomes a short-lived initiative when it isn’t embedded into how people work. Tigerhall keeps reinforcement running well past early adoption, delivering timely, role-relevant guidance that demonstrates AI’s value until new behaviors take hold—employees instinctively use AI in their everyday work, and AI readiness becomes part of the organizational culture.
